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Record W4417264405 · doi:10.1038/s41597-025-06403-9

Near complete T2T genome assembly of the banded goonch (Bagarius rutilus)

2025· article· en· W4417264405 on OpenAlexaff
Yaqiu Liu, Fengyue Zhu, Chunyun Lei, Hongfu Yang, Yuefei Li, Jie Li, Mingdian Liu, Weitao Chen

Bibliographic record

VenueScientific Data · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics and Phylogenetic Studies
Canadian institutionsMinistry of Agriculture
Fundersnot available
KeywordsSyntenySequence assemblyGenomeCladeGeneReference genomeNanopore sequencingGenome sizeStructural variation

Abstract

fetched live from OpenAlex

The order Siluriformes, a hyperdiverse teleost clade with over 3,000 species, exemplifies adaptive radiation through significant phenotypic innovations such as aerial respiration. However, the limited availability of high-quality genomes, particularly in underrepresented families such as Sisoridae, has hindered phylogenomic and mechanistic studies of their ecological diversification. Here, we present a nearly complete telomere-to-telomere (T2T) genome assembly of Bagarius rutilus (Banded Goonch) generated by a hybrid sequencing approach integrating PacBio HiFi, Oxford Nanopore ultra-long and Hi-C technologies. The 618.3 Mb genome (contig N50 = 21.06 Mb, scaffold N50 = 25.46 Mb) was resolved into 26 chromosomes, achieving a genome coverage of 98.17%. The quality of the assembly was validated by a BUSCO score of 97.5% (Actinopterygii_odb10) and high conservation of synteny with other catfish species. Based on RNA sequencing, homology-based and de novo annotation, we identified 29,106 protein-coding genes. This chromosome-level genome represents one of the highest quality Siluriformes assemblies to date and provides a critical resource for reconstructing adaptive landscapes and exploring the genetic basis of phenotypic innovation in catfish.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.903
Threshold uncertainty score0.321

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.034
GPT teacher head0.271
Teacher spread0.237 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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